Presented to: Dr. Daniele Borio
Citation: For pioneering multidimensional GNSS meta-signal processing using hypercomplex numbers, enabling optimal multi-frequency signal reconstruction, robust measurement techniques adopted by industry, and advancing receiver design

Dr. Daniele Borio is a scientific officer in the “Food Security” unit of the European Commission (EC) Joint Research Centre (JRC) where he is leading the team developing approaches for agricultural activity monitoring using remote sensing and GNSS technologies. Dr. Borio has been developing the theory and practice of GNSS meta-signals, introducing hypercomplex numbers for the design of optimal multi-frequency processing schemes. He also designed the synthetic meta-signal measurement reconstruction approach. This outstanding method enables the processing of wideband modulations such as AltBOC and ACE-BOC in multi-band GNSS receivers without requiring hardware changes.
Dr. Borio has made continuous, sustained contributions to GNSS signal processing, developing effective countermeasures against GNSS threats such as jamming and spoofing. In 2017, in his paper “Robust Signal Processing for GNSS”, he successfully applied his theory of robust statistical methods to GNSS signal processing, thereby extending the operational range of GNSS receivers in the presence of interference.
Dr. Borio’s research has resulted in the publication of more than 70 peer-reviewed journal papers and 100 conference papers. The excellence of his scientific production has been recognized by several best presentation and best paper awards, including the 2023 ION Burka Award. Finally, he served as the program and track chair for the ION GNSS+ technical meetings. He has also been contributing to the ESA/JRC International Summer School on GNSS, providing lectures on GNSS threats and organizing labs on GNSS signal processing.
Dr. Borio received his MS degree in Communications Engineering from Politecnico di Torino, Italy, an MS in Electronics Engineering from ENSERG/INPG of Grenoble, France, and his PhD in electrical engineering from Politecnico di Torino.